Top 5 Market Research Examples in Saudi Arabia’s Retail Sector

Saudi Arabia market research examples

Retailers in Saudi Arabia are increasingly turning to data-driven insights to navigate a rapidly changing market. The following five examples highlight how market research is being applied across different retail verticals, focusing on consumer behavior, operational efficiency, and strategic expansion.

Recent Trends

Over the past few years, several research methodologies have gained prominence, often combining digital tracking with traditional surveys. Key examples include:

• Mobile app usage analytics for grocery planning: A major grocery chain used anonymised in-app navigation data to understand how shoppers build their basket, leading to a reorganisation of high-traffic aisles.
• Footfall heat-mapping in large shopping centres: Researchers placed Bluetooth beacons in two dozen malls across Riyadh and Jeddah, mapping movement patterns to determine optimal kiosk placement and corridor widths.
• Sentiment mining on social media for fashion retail: A luxury segment study analysed public posts and comments over three seasons to gauge shifting preferences toward modest yet contemporary styles among 18–35-year-old women.
• In-store eye-tracking for electronics retailing: Using wearable cameras with a sample of 200 voluntary shoppers, a consumer electronics brand identified that pricing information is the second-most looked-at element after the product itself.
• Longitudinal panel study on online grocery adoption: A phased survey of 1,500 households over 18 months tracked the transition from hypermarket to app-based ordering, revealing convenience and delivery reliability as primary drivers.

Background

Saudi Arabia’s retail sector has been under significant structural transformation since the early 2020s, driven by Vision 2030 goals of economic diversification, increased female workforce participation, and the expansion of entertainment and tourism. Foreign retailers have expanded their presence, while local players have modernised operations. Against this backdrop, market research shifted from ad-hoc satisfaction surveys to continuous, multi-source data collection. Government initiatives such as the opening of data-sharing frameworks (within strict privacy guidelines) have enabled more granular studies, though the pace of adoption varies by segment.

User Concerns

Stakeholders—including retail executives, investors, and consumers—express several recurring concerns about these research initiatives:

• Data privacy and consent: The use of mobile signals and social media mining raises questions about anonymisation and opt-in transparency, especially after regional data protection reforms.
• Sample representativeness: Many studies rely heavily on smartphone users in major cities, potentially excluding older demographics, rural populations, or non-smartphone shoppers.
• Methodological consistency: With multiple private firms conducting separate studies, benchmarking across the sector remains difficult; a common criticism is the lack of standardised question frameworks.
• Cost vs. actionable insight: Small and medium retailers often find custom research budget-prohibitive, turning to aggregated syndicated data that may not reflect their specific catchment area.

Likely Impact

The five examples above are already influencing operational and strategic decisions. Observed and anticipated impacts include:

• Store layout and category management: Heat-mapping and basket analysis are directly prompting changes in shelf adjacency, checkout queue designs, and impulse-item placement.
• Personalised marketing: Sentiment mining from social media is feeding into targeted email campaigns and curated product recommendations for high-spend customer segments.
• Assortment rationalisation: Longitudinal panel data helps retailers reduce slow-moving SKUs and optimise stock for seasonal peaks, especially in the grocery segment.
• Expansion planning: Footfall data combined with demographic overlays supports decisions on opening new outlets in secondary cities such as Dammam, Khamis Mushait, and Tabuk.
• Loyalty program redesign: Insights from in-store eye-tracking have led some electronics retailers to simplify their loyalty tier messaging at point-of-sale, improving sign-up conversion.

What to Watch Next

As research techniques mature, several developments are worth tracking:

• Real-time analytics integration: Expect more retailers to embed data dashboards directly into store management systems, enabling live adjustments to staff allocation and promotion displays.
• Cross-sector data pooling: Industry consortia may emerge to share anonymised footfall and purchase data, creating richer benchmarks for smaller players.
• AI-driven predictive modelling: Machine learning applied to panel data could forecast demand shifts tied to school holidays, Umrah seasons, and large entertainment events.
• Research into the resale and thrift market: A growing second-hand apparel segment in urban areas is likely to attract dedicated qualitative and quantitative studies.
• Regulatory evolution: The National Data Management Office’s guidelines will continue to shape how researchers collect and store personal data, affecting the feasibility of certain passive tracking methods.